Bibliographic record
Abstract
This book explores the growing interests of China in the Arctic and examines the nature of its interests and motivations in maintaining its involvement and presence in the region. The new geopolitical landscape of the Arctic today is a significant departure from the great power politics that existed in the region during the Cold War era. Apart from traditional Arctic states, more and more international organizations and non-Arctic states are showing an increased interest in this region, not least China. Many have attempted to interpret China’s intention in moving to the high north and this book aims to add to the existing literature from three approaches: China’s participation in the international institutions, China’s relationships with the Arctic stakeholders and China’s sectoral engagement in the Arctic. In taking a three-dimensional approach to the analysis, the author builds a comprehensive picture of China’s interests and activities in the Arctic, not only from the perspective of China but also from the viewpoint of other Arctic states (Russia, Canada, the U.S., Norway, Sweden, Denmark, Finland and Iceland). One of the first books in English to cover the subject since the release of China’s Arctic policy white paper in January 2018, this analysis will be of interest to academics, students of Arctic studies, maritime law and international law, as well as policy makers in Arctic and non-Arctic states.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".